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Automatic extraction of via in the CT Image of PCB

机译：自动提取PCB CT图像中的过孔

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In modern industry, the nondestructive testing of printed circuit board (PCB) can prevent effectively the system failure and is becoming more and more important. In order to detect the via in the PCB base on the CT image automatically, accurately and reliably, a novel algorithm for via extraction based on weighting stack combining the morphologic character of via is designed. Every slice data in the vertical direction of the PCB is superimposed to enhanced vias target. The OTSU algorithm is used to segment the slice image. OTSU algorithm of thresholding gray level images is efficient for separating an image into two classes where two types of fairly distinct classes exist in the image. Randomized Hough Transform was used to locate the region of via in the segmented binary image. Then the 3D reconstruction of via based on sequence slice images was done by volume rendering. The accuracy of via positioning and detecting from a CT images of PCB was demonstrated by proposed algorithm. It was found that the method is good in veracity and stability for detecting of via in three dimensional.
机译：在现代工业中，印刷电路板（PCB）的无损检测可以有效地防止系统故障，并且变得越来越重要。为了基于CT图像自动，准确，可靠地检测PCB中的过孔，设计了一种结合加权过孔形态特征的加权堆栈抽取过孔的新算法。 PCB垂直方向上的每个切片数据都叠加到增强的过孔目标上。 OTSU算法用于分割切片图像。阈值灰度图像的OTSU算法可有效地将图像分为两类，其中图像中存在两种类型的截然不同的类。使用随机霍夫变换在分割后的二进制图像中定位过孔区域。然后，通过体积渲染完成基于序列切片图像的3D孔重建。通过所提出的算法证明了通过PCB的CT图像进行通孔定位和检测的准确性。发现该方法在三维中检测通孔具有良好的准确性和稳定性。

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